What is the most proper for face verification

Hi feng wang.
I tracked all your research for face verification.
This repo looks some messy as you said, but makes we can see your efforts all and so helpful as well.
You must took trouble and superb experience so much through those days.
First of all, i appreciate to your providing of refined CASIA database, and also to makers.

I want ask a question, what was the best method for face verification among siamese, triplet, joint baysian in aspect of accuracy? which method did you select?
How much accuracy did you achieve at most on lfw so far?

questions about models.
- you set the batch size as 2 and used euclidean loss in casia_demo,

2 batch size seems not good, loss would very fluctuate.
Did you align order of the dataset in training for two pics from same person makes pair? like below
assume right
first_person_1
first_person_2
second_person_1
second_person_2
assume wrong
first_person_1
second_person_1
in this case, loss is for other one, so it should be increased, not for optimization.
- you set the 3 loss layers in train in siamese.

in this case, which loss will caffe decrease for optimization?
finally, I contacted xiang wu you referred and tested his model, but accuracy on lfw does not arrive at the one he reported in his repo. just 93% for A_model on lfw without mean image.
i know this question is not for you, but if you have any information about that, i want to ask it also.
Thanks for your helpful reply in advance.